Venugopal V. Veeravalli

Venugopal V. Veeravalli

University of Illinois at Urbana-Champaign

H-index: 62

North America-United States

About Venugopal V. Veeravalli

Venugopal V. Veeravalli, With an exceptional h-index of 62 and a recent h-index of 34 (since 2020), a distinguished researcher at University of Illinois at Urbana-Champaign, specializes in the field of machine learning and data science, wireless communication, statistical signal processing, detection and estimation theory, infor.

His recent articles reflect a diverse array of research interests and contributions to the field:

Distributed and Rate-Adaptive Feature Compression

Quickest Change Detection with Controlled Sensing

Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets

Quickest Change Detection for Multiple Data Streams Using the James-Stein Estimator

Information Flow Optimization for Estimation in Linear Models Using a Sensor Network

Quickest change detection with leave-one-out density estimation

Principles of Robust Learning and Inference for Internet of Battlefield Things (In Internet of Things for Defense and National Security)

Robust hypothesis testing with moment constrained uncertainty sets

Venugopal V. Veeravalli Information

University

Position

Henry Magnuski Professor ECE

Citations(all)

15645

Citations(since 2020)

4256

Cited By

13251

hIndex(all)

62

hIndex(since 2020)

34

i10Index(all)

192

i10Index(since 2020)

101

Email

University Profile Page

University of Illinois at Urbana-Champaign

Google Scholar

View Google Scholar Profile

Venugopal V. Veeravalli Skills & Research Interests

machine learning and data science

wireless communication

statistical signal processing

detection and estimation theory

infor

Top articles of Venugopal V. Veeravalli

Title

Journal

Author(s)

Publication Date

Distributed and Rate-Adaptive Feature Compression

arXiv preprint arXiv:2404.02179

Aditya Deshmukh

Venugopal V Veeravalli

Gunjan Verma

2024/4/2

Quickest Change Detection with Controlled Sensing

IEEE Journal on Selected Areas in Information Theory

Venugopal V Veeravalli

Georgios Fellouris

George V Moustakides

2024/2/6

Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets

Liyan Xie

Yuchen Liang

Venugopal V Veeravalli

2024/4/18

Quickest Change Detection for Multiple Data Streams Using the James-Stein Estimator

arXiv preprint arXiv:2404.05486

Topi Halme

Venugopal V Veeravalli

Visa Koivunen

2024/4/8

Information Flow Optimization for Estimation in Linear Models Using a Sensor Network

IEEE Signal Processing Letters

Aditya Deshmukh

Jing Liu

Venugopal V Veeravalli

Gunjan Verma

2023/2/15

Quickest change detection with leave-one-out density estimation

Yuchen Liang

Venugopal V Veeravalli

2023/6/4

Principles of Robust Learning and Inference for Internet of Battlefield Things (In Internet of Things for Defense and National Security)

Nathaniel D Bastian

Susmit Jha

Paulo Tabuada

Venugopal Veeravalli

Gunjan Verma

2023

Robust hypothesis testing with moment constrained uncertainty sets

Akshayaa Magesh

Zhongchang Sun

Venugopal V Veeravalli

Shaofeng Zou

2023/6/4

Principled Out-of-Distribution Detection via Multiple Testing

Journal of Machine Learning Research

Akshayaa Magesh

Venugopal V Veeravalli

Anirban Roy

Susmit Jha

2023

Adaptive step-size methods for compressed sgd

Adarsh M Subramaniam

Akshayaa Magesh

Venugopal V Veeravalli

2023/6/4

Quickest Change Detection with Post-Change Density Estimation

arXiv preprint arXiv:2311.15128

Yuchen Liang

Venugopal V Veeravalli

2023/11/25

Controlling a markov decision process with an abrupt change in the transition kernel

Nathan Dahlin

Subhonmesh Bose

Venugopal V Veeravalli

2023/5/31

Robust High-Dimensional Linear Discriminant Analysis under Training Data Contamination

Yuyang Shi

Aditya Deshmukh

Yajun Mei

Venugopal Veeravalli

2023/6/25

Principled OOD Detection via Multiple Testing

Akshayaa Magesh

Venugopal V Veeravalli

Anirban Roy

Susmit Jha

2023/6/25

Robust Mean Estimation in High Dimensions: An Outlier-Fraction Agnostic and Efficient Algorithm

IEEE Transactions on Information Theory

Aditya Deshmukh

Jing Liu

Venugopal V Veeravalli

2023/2/27

Context-aware collaborative neuro-symbolic inference in iobts

Tarek Abdelzaher

Nathaniel D Bastian

Susmit Jha

Lance Kaplan

Mani Srivastava

...

2022/11/28

Non-parametric quickest mean-change detection

IEEE Transactions on Information Theory

Yuchen Liang

Venugopal V Veeravalli

2022/7/18

Multiple testing framework for out-of-distribution detection

arXiv preprint arXiv:2206.09522

Akshayaa Magesh

Venugopal V Veeravalli

Anirban Roy

Susmit Jha

2022/6/20

Quickest detection of composite and non-stationary changes with application to pandemic monitoring

Yuchen Liang

Venugopal V Veeravalli

2022/5/23

Principles of robust learning and inference for iobts

IoT for Defense and National Security

Nathaniel D Bastian

Susmit Jha

Paulo Tabuada

Venugopal Veeravalli

Gunjan Verma

2022/12/28

See List of Professors in Venugopal V. Veeravalli University(University of Illinois at Urbana-Champaign)

Co-Authors

H-index: 182
HV Poor

HV Poor

Princeton University

H-index: 90
Robert D Nowak

Robert D Nowak

University of Wisconsin-Madison

H-index: 60
Douglas L. Jones

Douglas L. Jones

University of Illinois at Urbana-Champaign

H-index: 53
Venkatesh Saligrama

Venkatesh Saligrama

Boston University

H-index: 46
Olgica Milenkovic

Olgica Milenkovic

University of Illinois at Urbana-Champaign

H-index: 35
Jun Chen

Jun Chen

McMaster University

academic-engine